Search Results for author: Chenhan Jin

Found 2 papers, 0 papers with code

Efficient Private SCO for Heavy-Tailed Data via Clipping

no code implementations27 Jun 2022 Chenhan Jin, Kaiwen Zhou, Bo Han, Ming-Chang Yang, James Cheng

In this paper, we resolve this issue and derive the first high-probability bounds for the private stochastic method with clipping.

An Adaptive Incremental Gradient Method With Support for Non-Euclidean Norms

no code implementations28 Apr 2022 Binghui Xie, Chenhan Jin, Kaiwen Zhou, James Cheng, Wei Meng

Stochastic variance reduced methods have shown strong performance in solving finite-sum problems.

Cannot find the paper you are looking for? You can Submit a new open access paper.